Uses of Class
com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobRequest

Packages that use CreateHyperParameterTuningJobRequest

Package	Description
com.amazonaws.services.sagemaker	Provides APIs for creating and managing SageMaker resources.
com.amazonaws.services.sagemaker.model

Uses of CreateHyperParameterTuningJobRequest in com.amazonaws.services.sagemaker

Methods in com.amazonaws.services.sagemaker with parameters of type CreateHyperParameterTuningJobRequest

Modifier and Type	Method and Description
CreateHyperParameterTuningJobResult	AmazonSageMakerClient.createHyperParameterTuningJob(CreateHyperParameterTuningJobRequest request) Starts a hyperparameter tuning job.
CreateHyperParameterTuningJobResult	AbstractAmazonSageMaker.createHyperParameterTuningJob(CreateHyperParameterTuningJobRequest request)
CreateHyperParameterTuningJobResult	AmazonSageMaker.createHyperParameterTuningJob(CreateHyperParameterTuningJobRequest createHyperParameterTuningJobRequest) Starts a hyperparameter tuning job.
Future<CreateHyperParameterTuningJobResult>	AmazonSageMakerAsyncClient.createHyperParameterTuningJobAsync(CreateHyperParameterTuningJobRequest request)
Future<CreateHyperParameterTuningJobResult>	AbstractAmazonSageMakerAsync.createHyperParameterTuningJobAsync(CreateHyperParameterTuningJobRequest request)
Future<CreateHyperParameterTuningJobResult>	AmazonSageMakerAsync.createHyperParameterTuningJobAsync(CreateHyperParameterTuningJobRequest createHyperParameterTuningJobRequest) Starts a hyperparameter tuning job.
Future<CreateHyperParameterTuningJobResult>	AmazonSageMakerAsyncClient.createHyperParameterTuningJobAsync(CreateHyperParameterTuningJobRequest request, AsyncHandler<CreateHyperParameterTuningJobRequest,CreateHyperParameterTuningJobResult> asyncHandler)
Future<CreateHyperParameterTuningJobResult>	AbstractAmazonSageMakerAsync.createHyperParameterTuningJobAsync(CreateHyperParameterTuningJobRequest request, AsyncHandler<CreateHyperParameterTuningJobRequest,CreateHyperParameterTuningJobResult> asyncHandler)
Future<CreateHyperParameterTuningJobResult>	AmazonSageMakerAsync.createHyperParameterTuningJobAsync(CreateHyperParameterTuningJobRequest createHyperParameterTuningJobRequest, AsyncHandler<CreateHyperParameterTuningJobRequest,CreateHyperParameterTuningJobResult> asyncHandler) Starts a hyperparameter tuning job.

Method parameters in com.amazonaws.services.sagemaker with type arguments of type CreateHyperParameterTuningJobRequest

Modifier and Type	Method and Description
Future<CreateHyperParameterTuningJobResult>	AmazonSageMakerAsyncClient.createHyperParameterTuningJobAsync(CreateHyperParameterTuningJobRequest request, AsyncHandler<CreateHyperParameterTuningJobRequest,CreateHyperParameterTuningJobResult> asyncHandler)
Future<CreateHyperParameterTuningJobResult>	AbstractAmazonSageMakerAsync.createHyperParameterTuningJobAsync(CreateHyperParameterTuningJobRequest request, AsyncHandler<CreateHyperParameterTuningJobRequest,CreateHyperParameterTuningJobResult> asyncHandler)
Future<CreateHyperParameterTuningJobResult>	AmazonSageMakerAsync.createHyperParameterTuningJobAsync(CreateHyperParameterTuningJobRequest createHyperParameterTuningJobRequest, AsyncHandler<CreateHyperParameterTuningJobRequest,CreateHyperParameterTuningJobResult> asyncHandler) Starts a hyperparameter tuning job.

Uses of CreateHyperParameterTuningJobRequest in com.amazonaws.services.sagemaker.model

Methods in com.amazonaws.services.sagemaker.model that return CreateHyperParameterTuningJobRequest

Modifier and Type	Method and Description
CreateHyperParameterTuningJobRequest	CreateHyperParameterTuningJobRequest.clone()
CreateHyperParameterTuningJobRequest	CreateHyperParameterTuningJobRequest.withAutotune(Autotune autotune) Configures SageMaker Automatic model tuning (AMT) to automatically find optimal parameters for the following fields:
CreateHyperParameterTuningJobRequest	CreateHyperParameterTuningJobRequest.withHyperParameterTuningJobConfig(HyperParameterTuningJobConfig hyperParameterTuningJobConfig) The HyperParameterTuningJobConfig object that describes the tuning job, including the search strategy, the objective metric used to evaluate training jobs, ranges of parameters to search, and resource limits for the tuning job.
CreateHyperParameterTuningJobRequest	CreateHyperParameterTuningJobRequest.withHyperParameterTuningJobName(String hyperParameterTuningJobName) The name of the tuning job.
CreateHyperParameterTuningJobRequest	CreateHyperParameterTuningJobRequest.withTags(Collection<Tag> tags) An array of key-value pairs.
CreateHyperParameterTuningJobRequest	CreateHyperParameterTuningJobRequest.withTags(Tag... tags) An array of key-value pairs.
CreateHyperParameterTuningJobRequest	CreateHyperParameterTuningJobRequest.withTrainingJobDefinition(HyperParameterTrainingJobDefinition trainingJobDefinition) The HyperParameterTrainingJobDefinition object that describes the training jobs that this tuning job launches, including static hyperparameters, input data configuration, output data configuration, resource configuration, and stopping condition.
CreateHyperParameterTuningJobRequest	CreateHyperParameterTuningJobRequest.withTrainingJobDefinitions(Collection<HyperParameterTrainingJobDefinition> trainingJobDefinitions) A list of the HyperParameterTrainingJobDefinition objects launched for this tuning job.
CreateHyperParameterTuningJobRequest	CreateHyperParameterTuningJobRequest.withTrainingJobDefinitions(HyperParameterTrainingJobDefinition... trainingJobDefinitions) A list of the HyperParameterTrainingJobDefinition objects launched for this tuning job.
CreateHyperParameterTuningJobRequest	CreateHyperParameterTuningJobRequest.withWarmStartConfig(HyperParameterTuningJobWarmStartConfig warmStartConfig) Specifies the configuration for starting the hyperparameter tuning job using one or more previous tuning jobs as a starting point.